Data-Juicer is an open-source data processing and augmentation framework designed to enhance the quality and diversity of datasets for machine learning tasks. It includes a modular pipeline for scalable data transformation.
Features
- Modular and extensible data processing pipeline
- Supports data augmentation for improving model robustness
- Predefined templates for various NLP and CV tasks
- Scalable to large datasets and distributed computing
- Compatible with popular deep learning frameworks
- Open-source with community-driven contributions
Project Samples
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow Data-Juicer
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